Name
Abstract | ||
|---|---|---|
.Rendering images from three-dimensional discrete data sets usually involvesinterpolation between samples. In terms of signal processing theory,common interpolation methods like trilinear and cubic interpolationare equivalent to the convolution of the sampled data with a suitablychosen reconstruction filter. Frequency domain volume rendering is atechnique based on the Fourier projection-slice theorem for the efficientgeneration of line integral projections without absorption. The... |
Year | DOI | Venue |
|---|---|---|
1995 | 10.1007/978-3-7091-9425-6_8 | Visualization in Scientific Computing |
Keywords | Field | DocType |
frequency domain,signal processing,three dimensional,volume rendering | Frequency domain,Computer vision,Volume rendering,Spline interpolation,Computer science,Interpolation,Reconstruction filter,Filter (signal processing),Artificial intelligence,Rendering (computer graphics),Biorthogonal wavelet | Conference |
Citations | PageRank | References |
7 | 0.54 | 6 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Roberto Grosso | 1 | 124 | 15.72 |
| Thomas Ertl | 2 | 4417 | 401.52 |